aiXbrain wins the RWTH Spin-off Award

November 2020
As one of the best spin-offs of RWTH Aachen University, aiXbrain receives the RWTH Spin-off Award 2020.

Book release: Fundamentals of Data Analytics: With a View to Machine Learning

October 2020
Our colleagues Prof. Dr. Rudolf Mathar and Dr. Emilo Balda share their deep knowledge of big data analytics and machine learning in their latest book "Fundamentals of Data Analytics: With a View to Machine Learning", published by Springer.

aiXbrain in P&A's 'Top Start-ups' 2020/2021

September 2020
This year's P&A Kompendium "Die Macher der Prozessindustrie" features aiXbrain as one of the top startups in process digitization and automation. In a dedicated article, our CEO, Dr. Alexander Engels, shares his perspective on the importance of AI for the engineering industry in Germany. Get your copy here.

aiXbrain shares AI best practices at the "Aachener Praxistag Künstliche Intelligenz"

August 2020
Our CTO, Dr. Simon Görtzen, shares AI best practices with digitalization and innovation managers at the "Aachener Praxistag Künstliche Intelligenz", organized by FIR e.V. at RWTH Aachen University. Participants learn what "AI readiness" means to aiXbrain, how companies can implement first AI use cases, and what is necessary to scale up AI company-wide.

aiXbrain, GFOS & QSC partner up

July 2020
aiXbrain GmbH, GFOS mbH, and QSC AG join forces to enhance the renowned GFOS Manufacturing Execution System (MES) with IoT and AI technology. aiXbrain contributes with AI components for real-time forecasting, real-time production control, and machine learning based knowledge transfer. First collaboration results have been presented at the Hannover Messe Digital Days 2020 and are continued in this interview by Dr. Olaf Zwintzscher and Stefan Schumacher.

Magazine article: Intelligent automation with industrial AI and IoT

June 2020
Our CEO, Dr. Alexander Engels, writes in the June issue of ELEKTRONIKPRAXIS about AI's contribution to the automation of manufacturing processes and its potential for the required flexibility increase in the industry. The article is available in the print version of ELEKTRONIKPRAXIS No. 11 4.6.2020 as well as online.

aiXbrain wins the train availability prediction challenge of DB Fernverkehr

May 2020
In early February 2020, aiXbrain wins the train availability prediction challenge of DB Fernverkehr, organized by DB mindbox. In the 100 follow-up days, aiXbrain develops a machine learning based forecast engine that reliably predicts future availability of long distance trains (ICE/IC). Despite all problems caused by the Corona pandemic, the aiXbrain forecast engine went live in May 2020.